About Me

Building the Future of Intelligent Systems

From scalable AI platforms to enterprise cloud solutions — engineering impact at every layer.

Rangavinay Teja Royal Jagga

Rangavinay Teja Royal Jagga

AI Research Scientist & Cloud Platform Engineer

Seattle, WA
Capgemini
Master's in Artificial Intelligence

Professional Summary

AI & Cloud Platform Engineer specializing in scalable AI agent systems, LLM-powered Copilot-style assistants, distributed backend architectures, and autonomous DevOps/SRE automation across AWS and Azure.

Proven experience in secure payment platforms, ML-based forecasting, and enterprise observability systems. Hands-on experience building production-grade AI services integrating LLM APIs and cloud platforms. Published AI researcher with 4 accepted IEEE papers.

Experience

AI Platform Engineer

@ Capgemini (Starbucks Technology)
Jan 2026 – PresentSeattle, WA
  • Managing and maintaining 140+ ecosystem repositories with code quality standards and governance
  • Optimizing base Docker images and container pools for improved build performance and cost efficiency
  • Built internal automation software for streamlined provisioning, code scaffolding, and developer tooling
  • Implementing pipeline execution optimizations and cost-saving solutions across CI/CD infrastructure

AI Solutions Engineer

@ Capgemini (Comcast Technology Center)
Sep 2025 – Dec 2025Philadelphia, PA
  • Designed LLM-powered Copilot-style AI agents for DevOps/SRE automation
  • Built conversational AI workflows for infrastructure diagnostics
  • Improved MTTR by 35% through agent-driven task execution

Backend, Cloud & AI Engineer

@ Capgemini (Subway Technology Center)
Aug 2024 – Aug 2025Shelton, CT
  • Scaled backend services for millions of transactions
  • Architected serverless payment orchestration with 99.9% uptime
  • Built PCI-DSS compliant systems improving reliability by 30%

DevOps Engineer

@ Tata Elxsi (ZF Automotive)
Aug 2021 – Aug 2022Bengaluru, India
  • Built CI/CD pipelines cutting release cycles by 50%
  • Deployed cloud-native microservices across AWS and Azure
  • Led infrastructure-as-code transformations

SEO Analyst (Intern)

@ Zinavo Technologies
Jun 2019 – Aug 2019Bengaluru, India
  • Increased web page rankings and organic traffic using SEO off-page optimization techniques

Education

Master of Science in Artificial Intelligence

University of Bridgeport

2022 – 2023GPA: 3.7

Focus: Machine Learning, Deep Learning, NLP

Bachelor of Technology in Computer Science

Presidency University

2017 – 2021GPA: 7.06

Focus: Software Engineering, Algorithms, Databases